Benchmark: Generate Date In A Month

Tests:

Array From

function createDateArrayInAMonth(year, month) {
    return Array.from(
        { length: new Date(year, month, 0).getDate() },
        (_, i) => new Date(year, month - 1, i + 1).toLocaleString()
    )
}

createDateArrayInAMonth(2023, 10)

​x
 
function createDateArrayInAMonth(year, month) {    return Array.from(        { length: new Date(year, month, 0).getDate() },        (_, i) => new Date(year, month - 1, i + 1).toLocaleString()    )}​createDateArrayInAMonth(2023, 10)

new Array

function createDateArrayInAMonth(year, month) {
    return new Array(new Date(year, month, 0).getDate()).fill().map((_, i) => new Date(year, month - 1, i + 1).toLocaleString())
}

createDateArrayInAMonth(2023, 10)

 
function createDateArrayInAMonth(year, month) {    return new Array(new Date(year, month, 0).getDate()).fill().map((_, i) => new Date(year, month - 1, i + 1).toLocaleString())}​createDateArrayInAMonth(2023, 10)

Array

function createDateArrayInAMonth(year, month) {
    return Array(new Date(year, month, 0).getDate()).fill().map((_, i) => new Date(year, month - 1, i + 1).toLocaleString())
}

createDateArrayInAMonth(2023, 10)

 
function createDateArrayInAMonth(year, month) {    return Array(new Date(year, month, 0).getDate()).fill().map((_, i) => new Date(year, month - 1, i + 1).toLocaleString())}​createDateArrayInAMonth(2023, 10)

for push

function createDateArrayInAMonth(year, month) {
    const arr = []
    
    for (let i = 0; i < new Date(year, month, 0).getDate(); i++) {
      arr.push(new Date(year, month - 1, i + 1).toLocaleString())
    }
    
  return arr
}

createDateArrayInAMonth(2023, 10)

 
function createDateArrayInAMonth(year, month) {    const arr = []        for (let i = 0; i < new Date(year, month, 0).getDate(); i++) {      arr.push(new Date(year, month - 1, i + 1).toLocaleString())    }      return arr}​createDateArrayInAMonth(2023, 10)

for index

function createDateArrayInAMonth(year, month) {
    const arr = []
    
    for (let i = 0; i < new Date(year, month, 0).getDate(); i++) {
      arr[i] = new Date(year, month - 1, i + 1).toLocaleString()
    }
    
  return arr
}

createDateArrayInAMonth(2023, 10)

 
function createDateArrayInAMonth(year, month) {    const arr = []        for (let i = 0; i < new Date(year, month, 0).getDate(); i++) {      arr[i] = new Date(year, month - 1, i + 1).toLocaleString()    }      return arr}​createDateArrayInAMonth(2023, 10)

While

function createDateArrayInAMonth(year, month) {
    const date = new Date(year, month - 1, 1)
    const arr = []
    
    while (date.getMonth() === month - 1) {
      arr.push(new Date(date).toLocaleString())
      
      date.setDate(date.getDate() + 1)
    }
  
  return arr
}

createDateArrayInAMonth(2023, 10)

 
function createDateArrayInAMonth(year, month) {    const date = new Date(year, month - 1, 1)    const arr = []        while (date.getMonth() === month - 1) {      arr.push(new Date(date).toLocaleString())            date.setDate(date.getDate() + 1)    }    return arr}​createDateArrayInAMonth(2023, 10)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Experimental features:

Memory measurements supported only in Chrome.
For precise memory measurements Chrome must be launched with --enable-precise-memory-info flag.
More information: Monitoring JavaScript Memory

Test case name	Result
Array From
new Array
Array
for push
for index
While

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36

Browser/OS: Chrome 119 on Windows

View result in a separate tab

Test name	Executions per second
Array From	14252.9 Ops/sec
new Array	15203.5 Ops/sec
Array	14870.6 Ops/sec
for push	12916.7 Ops/sec
for index	12758.7 Ops/sec
While	14120.9 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated 6 months ago):

Overview of the Benchmark

MeasureThat.net is a website where users can create and run JavaScript microbenchmarks to compare the performance of different approaches in creating an array of dates within a specific month. The provided benchmark definition and test cases are designed to measure the execution speed of various methods for generating arrays of dates.

Test Cases

The benchmark consists of six test cases, each representing a different approach to create an array of dates:

Array From: Uses Array.from() method to create an array from a date range.
new Array: Creates an empty array and then fills it with the desired number of elements using the fill() method.
Array: Similar to the previous approach, but creates the array directly without using fill().
for push: Uses a for loop to iterate over a date range and add each date to an empty array using the push() method.
for index: Similar to the previous approach, but uses a for loop to iterate over the indices of the array instead of dates.
While: Uses a while loop to incrementally create an array of dates.

Comparison of Approaches

Here's a brief analysis of each approach:

Array From and new Array: These approaches are similar, but use different methods to create the initial empty array. Both approaches have their pros and cons:
- Pros: Efficient, simple to implement.
- Cons: May be slower due to the overhead of creating an empty array.
Array: This approach is similar to Array From, but creates the array directly without using fill(). It may be faster since it avoids the overhead of creating an empty array.
for push and for index: These approaches are more verbose and less efficient than the previous ones. They may be slower due to the need to iterate over the indices or dates.
While: This approach is likely the slowest due to the use of a while loop, which can lead to slower execution.

Libraries Used

There are no libraries explicitly mentioned in the benchmark definition or test cases. However, some libraries like Lodash (_) might be used indirectly through its methods (e.g., Array.from()).

Special JS Features/Syntax

The following special JavaScript features/syntax are used:

Template literals: Used to create string interpolation expressions (e.g., "${year}-${month}-${day}").
Arrow functions: Used to define small, anonymous functions (e.g., (date) => ...).

Performance Insights

The provided benchmark results show that the execution speed of each approach varies:

Array From and new Array are relatively fast.
Array is likely faster than Array From due to its direct array creation.
for push and for index are slower than the previous approaches.
While is the slowest.

These results might vary depending on the specific JavaScript engine, browser, or environment used.

LLMs can make mistakes. Check important info.

**Overview of the Benchmark**

**Test Cases**

The benchmark consists of six test cases, each representing a different approach to create an array of dates:

1. **Array From**: Uses `Array.from()` method to create an array from a date range.
2. **new Array**: Creates an empty array and then fills it with the desired number of elements using the `fill()` method.
3. **Array**: Similar to the previous approach, but creates the array directly without using `fill()`.
4. **for push**: Uses a `for` loop to iterate over a date range and add each date to an empty array using the `push()` method.
5. **for index**: Similar to the previous approach, but uses a `for` loop to iterate over the indices of the array instead of dates.
6. **While**: Uses a `while` loop to incrementally create an array of dates.

**Comparison of Approaches**

Here's a brief analysis of each approach:

* **Array From** and **new Array**: These approaches are similar, but use different methods to create the initial empty array. Both approaches have their pros and cons:
	+ Pros: Efficient, simple to implement.
	+ Cons: May be slower due to the overhead of creating an empty array.
* **Array**: This approach is similar to `Array From`, but creates the array directly without using `fill()`. It may be faster since it avoids the overhead of creating an empty array.
* **for push** and **for index**: These approaches are more verbose and less efficient than the previous ones. They may be slower due to the need to iterate over the indices or dates.
* **While**: This approach is likely the slowest due to the use of a `while` loop, which can lead to slower execution.

**Libraries Used**

There are no libraries explicitly mentioned in the benchmark definition or test cases. However, some libraries like Lodash (`_`) might be used indirectly through its methods (e.g., `Array.from()`).

**Special JS Features/Syntax**

The following special JavaScript features/syntax are used:

* **Template literals**: Used to create string interpolation expressions (e.g., `"${year}-${month}-${day}"`).
* **Arrow functions**: Used to define small, anonymous functions (e.g., `(date) => ...`).

**Performance Insights**

The provided benchmark results show that the execution speed of each approach varies:

* `Array From` and `new Array` are relatively fast.
* `Array` is likely faster than `Array From` due to its direct array creation.
* `for push` and `for index` are slower than the previous approaches.
* `While` is the slowest.